{"id":"W7154627468","doi":"10.29363/nanoge.matsusspring.2026.157","title":"A Self-Driving Laboratory Framework for Aqueous Battery Interphases","year":2025,"lang":"","type":"article","venue":"","topic":"Advanced Battery Technologies Research","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Toronto","funders":"","keywords":"Aqueous solution; Battery (electricity); Electrode; Work (physics)","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005294941,0.0005327965,0.0006059994,0.0003488129,0.0008198215,0.0008916419,0.002537372,0.0007760729,0.004758311],"category_scores_gemma":[0.0006597338,0.0003852502,0.0003525322,0.0001836665,0.0007756855,0.001309084,0.001894484,0.001426894,0.002492275],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005271776,"about_ca_system_score_gemma":0.0008191749,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006146392,"about_ca_topic_score_gemma":0.001144394,"domain_scores_codex":[0.9995102,0.00005270655,0.00002244855,0.0001012691,0.0002468146,0.00006674956],"domain_scores_gemma":[0.9996124,0.00006605445,0.00003676179,0.0001022183,0.00009049002,0.00009217214],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0001501107,0.0003570175,0.0003398615,0.0002500467,0.00001534674,0.0002400995,0.0001101313,0.003592202,0.9438478,0.02877035,0.002085663,0.02024143],"study_design_scores_gemma":[0.0001016515,0.0007991107,0.0003863388,0.0000415578,0.00001884229,0.0003601218,0.0001080094,0.06157253,0.8759294,0.008990155,0.05161219,0.0000802091],"study_design_candidate":"bench_or_experimental","study_design_consensus":"bench_or_experimental","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.2306791,0.00161974,0.7278854,0.001160183,0.0007743057,0.001278594,0.001184946,0.008054109,0.02736367],"genre_scores_gemma":[0.7049959,0.00128458,0.2772352,0.0004010367,0.0001713075,0.001711927,0.00101126,0.000565735,0.012623],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.004758311,"threshold_uncertainty_score":0.01591808,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01103873422912247,"score_gpt":0.3078340188957216,"score_spread":0.2967952846665991,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}